Qiqi Feng¹, Zhijian Huang², Yanqiu Wang¹, Bin Wang^1,*

International Journal of Mental Health Promotion, Vol.26, No.6, pp. 417-428, 2024, DOI:10.32604/ijmhp.2024.049010

Abstract Mindfulness-based interventions (MBIs) are emerging non-pharmacological treatments for mild traumatic brain injury (mTBI). In this systematic review, the authors aimed to evaluate the potential efficacy of MBIs to provide recommendations for treating patients with mTBI. We searched of the English literature on MBIs for patients with mTBI as of 01 September, 2023, using the PubMed, Web of Science, PsycINFO, and Scopus databases. One author performed data extraction and quality scoring of the included literature according to the proposed protocol, and another conducted the review. The review was not registered. A total of 11 studies met… More >

Elizabeth J. Jacobo^1,#,*, Adriana M. Rodríguez^2,#

Phyton-International Journal of Experimental Botany, Vol.93, No.6, pp. 1179-1202, 2024, DOI:10.32604/phyton.2024.050928

Abstract The Flooding Pampa grasslands are the last remnant of the Rio de la Plata grasslands in Argentina. Anthropogenic interventions have led to severe degradation and, as a result, the ecosystem services provided by the grasslands are declining, in terms of provisioning, regulating, and supporting services. We synthesized the existing literature on the ecosystem goods and services provided by these grasslands under grazing in different conditions and conservation status. We found that plant and animal diversity and primary production are the most studied ecosystem services, while climate regulation, water supply, nutrient cycling, meat production and erosion… More >

Alexey Fedyushkin^*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.6, pp. 1351-1364, 2024, DOI:10.32604/fdmp.2024.050267

Abstract This study is devoted to an analysis of natural convection and the emergence of delamination in an incompressible fluid encapsulated in a closed region heated from the side. Weak, medium and intensive modes of stationary laminar thermal and thermo-concentration convection are considered. It is shown that nonlinear flow features can radically change the flow structure and characteristics of heat and mass transfer. Moreover, the temperature and concentration segregation in the center of the square region display a non-monotonic dependence on the Grashof number (flow intensity). The formation of a nonstationary periodic structure of thermal convection More >

Xiaochu Luo¹, Xiaobing Qi², Zhao Luo³, Zhonghao Li⁴, Ruiquan Liao¹, Xingkai Zhang^1,*

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.6, pp. 1233-1249, 2024, DOI:10.32604/fdmp.2023.045737

Abstract Conventional conductivity methods for measuring the void fraction in gas-liquid multiphase systems are typically affected by accuracy problems due to the presence of fluid flow and salinity. This study presents a novel approach for determining the void fraction based on a reciprocating dynamic conductivity probe used to measure the liquid film thickness under forced annular-flow conditions. The measurement system comprises a cyclone, a conductivity probe, a probe reciprocating device, and a data acquisition and processing system. This method ensures that the flow pattern is adjusted to a forced annular flow, thereby minimizing the influence of More >

Teng Teng^1,2, Yuhe Cai³, Linchao Wang^3,*, Yanzhao Zhu²

FDMP-Fluid Dynamics & Materials Processing, Vol.20, No.6, pp. 1181-1202, 2024, DOI:10.32604/fdmp.2023.044532

Abstract Liquid nitrogen has shown excellent performances as a good fracturing medium in the extraction of unconventional natural gas, and its application in coalbed methane extraction is currently a research hotspot. This study focuses on the acoustic emission properties of coal specimens treated utilizing liquid nitrogen with varying initial temperatures in a three-point bending environment. Through examination of the load-displacement curves of the considered coal samples, their mechanical properties are also revealed for different initial temperatures and cycling frequencies. The findings demonstrate a gradual decline in the maximum load capacity of coal rock as the temperature… More >

Sidiki Traoré^1,2,*

Revue Internationale de Géomatique, Vol.33, pp. 167-182, 2024, DOI:10.32604/rig.2024.052696

Abstract Au Mali, l’accès à la santé est une préoccupation majeure. Il est devenu une priorité nationale depuis la déclaration d’Alma-Ata en 1978. Dès lors, des efforts importants ont été consentis par l’État et ses partenaires pour atteindre cet objectif. Ces efforts semblent insuffisants dans le district sanitaire de Bougouni, car, plus de la moitié de la population reste très loin des services de santé de base. Face à ce constat, évaluer l’accessibilité géographique aux soins de santé est essentiel pour identifier les localités qui ont été laissées pour compte, d’’où l’objet de cette recherche dans… More >

Marya Iqbal¹, Yaser Hafeez¹, Nabil Almashfi², Amjad Alsirhani³, Faeiz Alserhani⁴, Sadia Ali¹, Mamoona Humayun^5,*, Muhammad Jamal⁶

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 5031-5049, 2024, DOI:10.32604/cmc.2024.051371

Abstract Embracing software product lines (SPLs) is pivotal in the dynamic landscape of contemporary software development. However, the flexibility and global distribution inherent in modern systems pose significant challenges to managing SPL variability, underscoring the critical importance of robust cybersecurity measures. This paper advocates for leveraging machine learning (ML) to address variability management issues and fortify the security of SPL. In the context of the broader special issue theme on innovative cybersecurity approaches, our proposed ML-based framework offers an interdisciplinary perspective, blending insights from computing, social sciences, and business. Specifically, it employs ML for demand analysis, More >

Djeldjli Halima^1,*, Benatiallah Djelloul¹, Ghasri Mehdi², Tanougast Camel³, Benatiallah Ali⁴, Benabdelkrim Bouchra¹

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 4725-4740, 2024, DOI:10.32604/cmc.2024.051002

Abstract When designing solar systems and assessing the effectiveness of their many uses, estimating sun irradiance is a crucial first step. This study examined three approaches (ANN, GA-ANN, and ANFIS) for estimating daily global solar radiation (GSR) in the south of Algeria: Adrar, Ouargla, and Bechar. The proposed hybrid GA-ANN model, based on genetic algorithm-based optimization, was developed to improve the ANN model. The GA-ANN and ANFIS models performed better than the standalone ANN-based model, with GA-ANN being better suited for forecasting in all sites, and it performed the best with the best values in the… More > Graphic Abstract

Siwan Noh¹, Kyung-Hyune Rhee^2,*

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 3805-3826, 2024, DOI:10.32604/cmc.2024.050949

Abstract In Decentralized Machine Learning (DML) systems, system participants contribute their resources to assist others in developing machine learning solutions. Identifying malicious contributions in DML systems is challenging, which has led to the exploration of blockchain technology. Blockchain leverages its transparency and immutability to record the provenance and reliability of training data. However, storing massive datasets or implementing model evaluation processes on smart contracts incurs high computational costs. Additionally, current research on preventing malicious contributions in DML systems primarily focuses on protecting models from being exploited by workers who contribute incorrect or misleading data. However, less… More >

Junqing Bai¹, Qiuchao Dai^1,*, Yingying Li²

CMC-Computers, Materials & Continua, Vol.79, No.3, pp. 5083-5103, 2024, DOI:10.32604/cmc.2024.050921

Abstract To support the explosive growth of Information and Communications Technology (ICT), Mobile Edge Computing (MEC) provides users with low latency and high bandwidth service by offloading computational tasks to the network’s edge. However, resource-constrained mobile devices still suffer from a capacity mismatch when faced with latency-sensitive and compute-intensive emerging applications. To address the difficulty of running computationally intensive applications on resource-constrained clients, a model of the computation offloading problem in a network consisting of multiple mobile users and edge cloud servers is studied in this paper. Then a user benefit function EoU (Experience of Users) is… More >